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Real-Time Emulation and Simulation System of Asynchronous Motor Consumption

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 619))

Abstract

Electric power systems have been altered at the operating and planning level in the last years. Evidence of this was the liberalization of the energy market and the implementation of concepts such as smart grids and the active participation of consumers through demand response programs. The main objective of the present paper is to propose an emulation model for asynchronous motors, in the scope of dynamic measurement and control of loads, included in demand response programs. Since this type of electric motor is of upmost importance in the current consumption context, it was necessary to model consumption and evaluate its impact on the power system. The development of this paper aims to evaluate the system’s capabilities using the motor as a load, and a wind emulator. Thus, we can represent various applications (e.g. division of a house) and realize the effect of distributed generation in the operation of the electric power system.

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References

  1. Gabriel, H., Morais, V.: Gestão de Recursos Energéticos nas SmartGrids (2010)

    Google Scholar 

  2. International Energy Agency: Resources to reserve 2013. New Dir. Youth Dev. 2013(140), 5–8 (2013)

    Article  Google Scholar 

  3. IEA, OECD, and World Bank Group: The scope of fossil fuel subsidies in 2009 and a roadmap for phasing out fossil fuel subsidies. In: Jt. Rep. Prep. G20 Summit Seoul (South Korea), 11–12 Nov 2010

    Google Scholar 

  4. Ali, S., Ahmad, R., Kim, D.: A study of pricing policy for demand response of home appliances in smart grid based on M2M. In: Proceedings of the 10th International Conference on Frontiers of Information Technology (FIT) 2012, pp. 231–236 (2012)

    Google Scholar 

  5. De Craemer, K., Deconinck, G.: Analysis of state-of-the-art smart metering communication standards. In: Proceedings of the 5th Young Researchers Symposium, pp. 1–6 (2010)

    Google Scholar 

  6. Ghosh, S., Sun, X.A., Zhang, X.: Consumer profiling for demand response programs in smart grids. In: 2012 IEEE Innovative Smart Grid Technologies—Asia, ISGT Asia 2012, pp. 1–6 (2012)

    Google Scholar 

  7. Li, S.H., Zhang, D., Roget, B., O’Neill, Z.: Integrating home energy simulation and dynamic electricity price for demand response study. IEEE Trans. Smart Grid 5(2), 779–788 (2014)

    Article  Google Scholar 

  8. Faria, P., Vale, Z., Baptista, J.: Demand response programs design and use considering intensive penetration of distributed generation. Energies 8(6), 6230–6246 (2015)

    Article  Google Scholar 

  9. Faria, P.: Demand Response in future power systems management—a conceptual framework and simulation tool (2011)

    Google Scholar 

  10. Hakimi, S.M., Moghaddas-Tafreshi, S.M.: Optimal planning of a smart microgrid including demand response and intermittent renewable energy resources. IEEE Trans. Smart Grid 5(6), 2889–2900 (2014)

    Article  Google Scholar 

  11. Gustedt, J., Jeannot, E., Quinson, M.: Experimental methodologies for large-scale systems : a survey (2009)

    Google Scholar 

  12. Wang, Y.H., Wu, I.C.: Achieving high and consistent rendering performance of Java AWT/Swing on multiple platforms. Softw. Pract. Exp. 39(7), 701–736 (2009)

    Google Scholar 

  13. Li, Q., Smith, G.: Formal development of multi-agent systems using MAZE. In: Science of Computer Programming, vol 131, 1 Dec 2016, pp. 126–150, ISSN 0167-6423. doi:10.1016/j.scico.2016.04.008

  14. Pinto, T., Barreto, J., Praça, I., Sousa, T.M., Vale, Z., Pires, E.S.: Six thinking hats: a novel metalearner for intelligent decision support in electricity markets. In: Decision Support Systems, vol. 79, Nov 2015, pp. 1–11, ISSN 0167-9236. doi:10.1016/j.dss.2015.07.011

  15. Silva, F., Teixeira, B., Pinto, T., Santos, G., Vale, Z. and Praça, I.: Generation of realistic scenarios for multi-agent simulation of electricity markets. In: Energy, vol. 116, Part 1, 1 Dec 2016, pp. 128–139, ISSN 0360-5442. doi:10.1016/j.energy.2016.09.096

  16. Santos, G., Pinto, T., Morais, H., Sousa, T.M., Pereira, I.F., Fernandes, R., Praça, I., Vale, Z.: Multi-agent simulation of competitive electricity markets: autonomous systems cooperation for European market modeling. In: Energy Conversion and Management, vol. 99, 15 July 2015, pp. 387–399, ISSN 0196-8904. doi:10.1016/j.enconman.2015.04.042

  17. Santos, G., Pinto, T., Praça, I., Vale, Z.: MASCEM: optimizing the performance of a multi-agent system. In: Energy, vol. 111, 15 Sept 2016, pp. 513–524, ISSN 0360-5442. doi:10.1016/j.energy.2016.05.127

  18. Gomes, L., Fernandes, F., Faria, P., Silva, M., Vale, Z., Ramos, C.: Contextual and environmental awareness laboratory for energy consumption management. In: 2015 Clemson University Power Systems Conference (PSC), Clemson, SC, 2015, pp. 1–6. doi:10.1109/PSC.2015.7101678

  19. OPAL-RT TECHNOLOGIES: Introducing the OP5600 Family, OPAL-RT’s Real-Time Digital Simulators (2016). http://www.opal-rt.com/product/op5600-hil-hardware-in-the-loop-computer-and-IO-system. Accessed 05 Sept 2016

  20. ISA: Programmable logic controllers: hardware, software architecture. https://www.isa.org/standards-publications/isa-publications/intech-magazine/2010/december/automation-basics-programmable-logic-controllers-hardware-software-architecture/. Accessed 20 Sept 2016

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Acknowledgements

The present work was done and funded in the scope of the following project: NetEfficity Project (P2020-18015); and UID/EEA/00760/2013 funded by FEDER Funds through COMPETE Program and by National Funds through FCT.

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Correspondence to Filipe Sousa .

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Sousa, F., Spínola, J., Moreira, N., Faria, P., Vale, Z. (2018). Real-Time Emulation and Simulation System of Asynchronous Motor Consumption. In: De la Prieta, F., et al. Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection - 15th International Conference, PAAMS 2017. PAAMS 2017. Advances in Intelligent Systems and Computing, vol 619. Springer, Cham. https://doi.org/10.1007/978-3-319-61578-3_7

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  • DOI: https://doi.org/10.1007/978-3-319-61578-3_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-61577-6

  • Online ISBN: 978-3-319-61578-3

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