Agent based demand flexibility management for wind power forecasting error mitigation using the SG-BEMS framework

L.A. Hurtado Munoz; J.D.J. Barradas Berglind; H.P. Nguyen; I.G. Kamphuis

doi:10.1109/ISGTEurope.2016.7856221

Agent based demand flexibility management for wind power forecasting error mitigation using the SG-BEMS framework

L.A. Hurtado Munoz, J.D.J. Barradas Berglind, H.P. Nguyen, I.G. Kamphuis

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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Abstract

The integration process of renewable energy sources (RES) and distributed energy resources (DER) into the power system, is characterized by concerns that originate from their stochastic and uncontrollable nature. This means that system operators require reliable forecasting tools, in order to ensure efficient and reliable operation. Accordingly, this paper proposes the use of demand flexibility, to counteract the RES forecasting errors. For this purpose, distributed and decentralized intelligence is used, via the SG-BEMS framework, to invoke demand flexibility in a timely and effective fashion, while taking into account the negative effects on the building occupants comfort. Lastly, numerical results from a simulated case of study are presented, which confirm that demand flexibility can be used to mitigate the magnitude of forecast errors.

Original language	English
Title of host publication	IEEE PES ISGT (Innovative Smart Grid Technologies) Europe 2016 Conference, 9-12 October 2016, Ljubljana, Slovenia
Place of Publication	Piscataway
Publisher	Institute of Electrical and Electronics Engineers
Pages	1-6
ISBN (Electronic)	978-1-5090-3358-4
ISBN (Print)	978-1-5090-3359-1
DOIs	https://doi.org/10.1109/ISGTEurope.2016.7856221
Publication status	Published - 2016

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Hurtado Munoz, L. A., Barradas Berglind, J. D. J., Nguyen, H. P., & Kamphuis, I. G. (2016). Agent based demand flexibility management for wind power forecasting error mitigation using the SG-BEMS framework. In IEEE PES ISGT (Innovative Smart Grid Technologies) Europe 2016 Conference, 9-12 October 2016, Ljubljana, Slovenia (pp. 1-6). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ISGTEurope.2016.7856221

Hurtado Munoz, L.A. ; Barradas Berglind, J.D.J. ; Nguyen, H.P. et al. / Agent based demand flexibility management for wind power forecasting error mitigation using the SG-BEMS framework. IEEE PES ISGT (Innovative Smart Grid Technologies) Europe 2016 Conference, 9-12 October 2016, Ljubljana, Slovenia. Piscataway : Institute of Electrical and Electronics Engineers, 2016. pp. 1-6

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title = "Agent based demand flexibility management for wind power forecasting error mitigation using the SG-BEMS framework",

abstract = "The integration process of renewable energy sources (RES) and distributed energy resources (DER) into the power system, is characterized by concerns that originate from their stochastic and uncontrollable nature. This means that system operators require reliable forecasting tools, in order to ensure efficient and reliable operation. Accordingly, this paper proposes the use of demand flexibility, to counteract the RES forecasting errors. For this purpose, distributed and decentralized intelligence is used, via the SG-BEMS framework, to invoke demand flexibility in a timely and effective fashion, while taking into account the negative effects on the building occupants comfort. Lastly, numerical results from a simulated case of study are presented, which confirm that demand flexibility can be used to mitigate the magnitude of forecast errors.",

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Hurtado Munoz, LA, Barradas Berglind, JDJ, Nguyen, HP & Kamphuis, IG 2016, Agent based demand flexibility management for wind power forecasting error mitigation using the SG-BEMS framework. in IEEE PES ISGT (Innovative Smart Grid Technologies) Europe 2016 Conference, 9-12 October 2016, Ljubljana, Slovenia. Institute of Electrical and Electronics Engineers, Piscataway, pp. 1-6. https://doi.org/10.1109/ISGTEurope.2016.7856221

Agent based demand flexibility management for wind power forecasting error mitigation using the SG-BEMS framework. / Hurtado Munoz, L.A.; Barradas Berglind, J.D.J.; Nguyen, H.P. et al.

IEEE PES ISGT (Innovative Smart Grid Technologies) Europe 2016 Conference, 9-12 October 2016, Ljubljana, Slovenia. Piscataway : Institute of Electrical and Electronics Engineers, 2016. p. 1-6.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AB - The integration process of renewable energy sources (RES) and distributed energy resources (DER) into the power system, is characterized by concerns that originate from their stochastic and uncontrollable nature. This means that system operators require reliable forecasting tools, in order to ensure efficient and reliable operation. Accordingly, this paper proposes the use of demand flexibility, to counteract the RES forecasting errors. For this purpose, distributed and decentralized intelligence is used, via the SG-BEMS framework, to invoke demand flexibility in a timely and effective fashion, while taking into account the negative effects on the building occupants comfort. Lastly, numerical results from a simulated case of study are presented, which confirm that demand flexibility can be used to mitigate the magnitude of forecast errors.

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Hurtado Munoz LA, Barradas Berglind JDJ, Nguyen HP, Kamphuis IG. Agent based demand flexibility management for wind power forecasting error mitigation using the SG-BEMS framework. In IEEE PES ISGT (Innovative Smart Grid Technologies) Europe 2016 Conference, 9-12 October 2016, Ljubljana, Slovenia. Piscataway: Institute of Electrical and Electronics Engineers. 2016. p. 1-6 doi: 10.1109/ISGTEurope.2016.7856221

Agent based demand flexibility management for wind power forecasting error mitigation using the SG-BEMS framework

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