[en] This paper aims to design an algorithm dedicated to operational planning for microgrids in the challenging case where the scenarios of production and consumption are not known in advance. Using expert knowledge obtained from solving a family of linear programs, we build a learning set for training a decision-making agent. The empirical performances in terms of Levelized Energy Cost (LEC) of the obtained agent are compared to the expert performances obtained in the case where the scenarios are known in advance. Preliminary results are promising.
Disciplines :
Computer science
Author, co-author :
Aittahar, Samy ; Université de Liège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Smart grids
François-Lavet, Vincent ; Université de Liège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Smart grids
Lodeweyckx, Stefan
Ernst, Damien ; Université de Liège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Smart grids
Fonteneau, Raphaël ; Université de Liège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation
Language :
English
Title :
Imitative Learning for Online Planning in Microgrids
Publication date :
15 December 2015
Event name :
Data Analytics for Renewable Energy Integration 2015
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Bibliography
Cornélusse, B., Geurts, P., Wehenkel, L.: Tree based ensemble models regularization by convex optimization. In: 2nd NIPS Workshop on Optimization for Machine Learning, OPT 2009 (2009).
Cornélusse, B., Vignal, G., Defourny, B., Wehenkel, L.: Supervised learning of intra-daily recourse strategies for generation management under uncertainties. In: 2009 IEEE Bucharest PowerTech, pp. 1-8. IEEE (2009).
Debjyoti, P., Ambarnath, B.: Control of storage devices in a microgrid using hybrid control and machine learning. In: IET MFIIS 2013, Kolkata, India, vol. 5, p. 34 (2013). ISBN: 978-93-82715-97-9.
Francois-Lavet, V., Gemine, Q., Ernst, D., Fonteneau, R.: Towards the minimization of the levelized energy costs of microgrids using both long-term and short-term storage devices. To be published (2015).
Kuznetsova, E., Li, Y. F., Ruiz, C., Zio, E., Ault, G., Bell, K.: Reinforcement learning for microgrid energy management. Energy 59, 133-146 (2013).
Moghaddam, A. A., Alireza, S., Niknam, T., Reza Alizadeh Pahlavani, M.: Multiobjective operation management of a renewable MG (micro-grid) with back-up micro-turbine/fuel cell/battery hybrid power source. Energy 36(11), 6490-6507 (2011).
Morais, H., Kdr, P., Faria, P., Vale, Z. A., Khodr, H.: Optimal scheduling of a renewable micro-grid in an isolated load area using mixed-integer linear programming. Renew. Energy 35(1), 151-156 (2010).
Motevasel, M., Reza Seifi, A., Niknam, T.: Multi-objective energy management of CHP (combined heat and power)-based micro-grid. Energy 51, 123-136 (2013).
Pan, S. J., Yang, Q.: A survey on transfer learning. IEEE Trans. Knowl. Data Eng. 22(10), 1345-1359 (2010).
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