Abstract
Whether due to economic pressure or environmental concerns, the penetration rate of renewable energies has been increasing over recent years. Uruguay is a leader country in the usage of renewable energies, getting 98% of its electricity from such sources. Its lack of fossil energy resources has historically pushed this country to rely on hydro-energy. Recently, in a scenario where most natural hydro-resources have been deployed, Uruguay has moved to non-conventional renewable energies, to biomass and wind power mostly, although nowadays solar sources are rapidly increasing. As clean and financially stable as they are, non-conventional energies have weaknesses. Unlike thermic and most hydro-sources, wind and solar energies are not controllable, are intermittent and uncertain some hours ahead, complicating the short-term operation and maintenance of electrical systems. This work explores how to use smart-grids capabilities to adjust electricity demand as a natural hedge against novel short-position risks in the Uruguayan electricity market.
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References
de Mello, S., Cazes, G., Gutiérrez, A.: Operational wind energy forecast with power assimilation. In: 14th International Conference on Wind Engineering (2014)
Joos, M., Staffell, I.: Short-term integration costs of variable renewable energy: wind curtailment and balancing in britain and germany. Renew. Sustain. Energy Rev. 86, 45–65 (2018)
Karki, R., Billinton, R.: Cost-effective wind energy utilization for reliable power supply. IEEE Trans. Energy Convers. 19(2), 435–440 (2004)
Li, N., Chen, L., Low, S.H.: Optimal demand response based on utility maximization in power networks. In: 2011 IEEE Power and Energy Society General Meeting, pp. 1–8, July 2011
Mohsenian-Rad, A.H., Leon-Garcia, A.: Optimal residential load control with price prediction in real-time electricity pricing environments. IEEE Trans. Smart Grid 1(2), 120–133 (2010)
Morales, J.M., Conejo, A.J., Madsen, H., Pinson, P., Zugno, M.: Integrating Renewables in Electricity Markets, vol. 205, No. 1. Springer, Boston (2014). https://doi.org/10.1007/978-1-4614-9411-9
Paganini, F., Belzarena, P., Monzón, P.: Decision making in forward power markets with supply and demand uncertainty. In: 2014 48th Annual Conference on Information Sciences and Systems (CISS), pp. 1–6, March 2014
REN21. Renewables 2018 global status report. Technical report, REN21 Secretariat, Paris (2018)
Risso, C., Guerberoff, G.: Nonparametric optimization of short-term confidence bands for wind power generation. ArXiv e-prints, May 2018
Acknowledgements
This work was partially supported by PEDECIBA-Informática (Uruguay), by the STIC-AMSUD project 15STIC-07 DAT (joint project Chile-France-Uruguay), and by ANII (Agencia Nacional de Investigación e Innovación, Uruguay).
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Risso, C. (2019). Using Smart-Grids Capabilities as a Natural Hedge Against Novel Risks Coming from Non-conventional Renewable Electricity Generation. In: Nesmachnow, S., Hernández Callejo, L. (eds) Smart Cities. ICSC-CITIES 2018. Communications in Computer and Information Science, vol 978. Springer, Cham. https://doi.org/10.1007/978-3-030-12804-3_11
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DOI: https://doi.org/10.1007/978-3-030-12804-3_11
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