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Evaluation of communication network state estimators for adaptive power-balancing

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Computer Science - Research and Development

Abstract

Smart grid applications are going to reach the low voltage grid assets and households in order to efficiently use the resources in electrical distribution grids. A cost effective way to connect these devices is to utilize the existing network infrastructure or Power-Line Communication (PLC). In this work, we illustrate the impact of changing communication properties on a power balancing controller used to support frequency control in the setting of a microgrid. More specifically, we focus on PLC communication and show how time-varying delays can affect the control algorithm performance. Further, we propose and compare two different delay estimation techniques and demonstrate how the control algorithm can use this information to adapt its gains - yielding significantly better control performance, compared to the controller using static gains.

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References

  1. von Appen J, Braun M, Stetz T, Diwold K, Geibel D (2013) Time in the sun: the challenge of high PV penetration in the German electric grid. IEEE Power Energy Mag 11(2):55–64

    Article  Google Scholar 

  2. von Appen Jan, Stetz Thomas, Braun Martin, Schmiegel Armin (2014) Local voltage control strategies for PV storage systems in distribution grids. IEEE Trans. Smart Grid 5(2):1002–1009

    Article  Google Scholar 

  3. Study on broadband coverage in Europe (2013). https://ec.europa.eu/digital-single-market/en/news/study-broadband-coverage-europe-2014/. Accessed 21 Apr 2016

  4. Smart control of energy distribution grids over heterogeneous communication networks (2013). http://smartc2net.eu/. Accessed 21 Apr 2016

  5. Rajalingham G, Ho QD, Le-Ngoc T (2014) Evaluation of an efficient smart grid communication system at the neighbor area level. In: 2014 IEEE 11th Consumer Communications and Networking Conference (CCNC), pp. 426–431

  6. Madureira A, Moreira C, Peas Lopes JA (2005) Secondary load-frequency control for microgrids in islanded operation. In: Proceedings of the International Conference on Renewable Energy and Power Quality ICREPQ05

  7. Pedersen R, Sloth C, Andresen GB, Wisniewski R (2014) DiSC—a simulation framework for distribution system voltage control. http://kom.aau.dk/project/SmartGridControl/DiSC/. Accessed 21 Apr 2016

  8. Pedersen R, Sloth C, Andresen GB, Wisniewski R (2015) DiSC: a simulation framework for distribution system voltage control. In: Control Conference (ECC), 2015 European, pp. 1056–1063

  9. SmartC2Net consortium (2014). Deliverable D4.2 supply/demand control algorithms. Technical report

  10. Simpson-Porco JW, Dörfler F, Bullo F (2013) Synchronization and power sharing for droop-controlled inverters in islanded microgrids. Automatica, 49(9):2603–2611

  11. Chow MY, Tipsuwan Y (2003) Gain adaptation of networked dc motor controllers based on QoS variations. IEEE Trans. Ind. Electron. 50(5):936–943

    Article  Google Scholar 

  12. Knapp ED (2011) Industrial Network Security: securing critical infrastructure networks for smart grid, SCADA, and other industrial control systems. Syngress Publishing, Rockland

  13. Devolo G3-PLC Modem 500k. http://www.devolo.com/at/SmartGrid/Produkte/devolo-G3-PLC-Modem-500k. Accessed 21 Apr 2016

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Authors and Affiliations

  1. Digital Safety and Security Deparment, Austrian Institute of Technology, Vienna, Austria

    Mislav Findrik

  2. Deparment of Electronic Systems, Aalborg University, Aalborg, Denmark

    Rasmus Pedersen, Christoffer Sloth & Hans-Peter Schwefel

Authors
  1. Mislav Findrik
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  2. Rasmus Pedersen
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  3. Christoffer Sloth
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  4. Hans-Peter Schwefel
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Correspondence to Mislav Findrik.

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Findrik, M., Pedersen, R., Sloth, C. et al. Evaluation of communication network state estimators for adaptive power-balancing. Comput Sci Res Dev 32, 247–254 (2017). https://doi.org/10.1007/s00450-016-0312-9

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  • DOI: https://doi.org/10.1007/s00450-016-0312-9

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