An enhancement of agent-based power supply-demand matching by using ANN-based forecaster

M.N.I Maruf, L.A. Hurtado Munoz, H.P. Nguyen, H.M. Lopes Ferreira, W.L. Kling

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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Abstract

Local supply-demand matching in power grids by means of advanced information and communication technology (ICT) is emerging due to the increasing integration of distributed energy resources (DER). Although advantages of the local matching mechanism have been proved by either research works or demonstrations, there are some difficulties on being proactive to handle uncertainty from renewable energy sources (RES) and new types of load consumption. This paper aims to enhance the matching mechanism using multi-agent systems (MAS) and artificial neural network (ANN) to investigate and determine DER's flexibility to compensate that uncertainty. Under a more general platform for smart grid functions, this paper presents a model to achieve a match between the forecasted supply and demand. Short-term forecasting based on an ANN model is used to predict the stochastic behavior of weather data. The model considers various scenarios and the potential from household demand side management. The results from the performed simulations indicate feasible DER's flexibility for power matching, which can be further adapted for different scenarios to serve local or more grid-related optimization objectives.
Original languageEnglish
Title of host publicationProceedings of the Innovative Smart Grid Technologies Europe Conference (ISGT 2013), 6-9 October 2013, Lingby, Denmark
Pages1-5
DOIs
Publication statusPublished - 2013

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Neural networks
Energy resources
Multi agent systems
Demonstrations
Communication
Uncertainty
Demand side management

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Maruf, M. N. I., Hurtado Munoz, L. A., Nguyen, H. P., Lopes Ferreira, H. M., & Kling, W. L. (2013). An enhancement of agent-based power supply-demand matching by using ANN-based forecaster. In Proceedings of the Innovative Smart Grid Technologies Europe Conference (ISGT 2013), 6-9 October 2013, Lingby, Denmark (pp. 1-5) https://doi.org/10.1109/ISGTEurope.2013.6695257
Maruf, M.N.I ; Hurtado Munoz, L.A. ; Nguyen, H.P. ; Lopes Ferreira, H.M. ; Kling, W.L. / An enhancement of agent-based power supply-demand matching by using ANN-based forecaster. Proceedings of the Innovative Smart Grid Technologies Europe Conference (ISGT 2013), 6-9 October 2013, Lingby, Denmark. 2013. pp. 1-5
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abstract = "Local supply-demand matching in power grids by means of advanced information and communication technology (ICT) is emerging due to the increasing integration of distributed energy resources (DER). Although advantages of the local matching mechanism have been proved by either research works or demonstrations, there are some difficulties on being proactive to handle uncertainty from renewable energy sources (RES) and new types of load consumption. This paper aims to enhance the matching mechanism using multi-agent systems (MAS) and artificial neural network (ANN) to investigate and determine DER's flexibility to compensate that uncertainty. Under a more general platform for smart grid functions, this paper presents a model to achieve a match between the forecasted supply and demand. Short-term forecasting based on an ANN model is used to predict the stochastic behavior of weather data. The model considers various scenarios and the potential from household demand side management. The results from the performed simulations indicate feasible DER's flexibility for power matching, which can be further adapted for different scenarios to serve local or more grid-related optimization objectives.",
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Maruf, MNI, Hurtado Munoz, LA, Nguyen, HP, Lopes Ferreira, HM & Kling, WL 2013, An enhancement of agent-based power supply-demand matching by using ANN-based forecaster. in Proceedings of the Innovative Smart Grid Technologies Europe Conference (ISGT 2013), 6-9 October 2013, Lingby, Denmark. pp. 1-5. https://doi.org/10.1109/ISGTEurope.2013.6695257

An enhancement of agent-based power supply-demand matching by using ANN-based forecaster. / Maruf, M.N.I; Hurtado Munoz, L.A.; Nguyen, H.P.; Lopes Ferreira, H.M.; Kling, W.L.

Proceedings of the Innovative Smart Grid Technologies Europe Conference (ISGT 2013), 6-9 October 2013, Lingby, Denmark. 2013. p. 1-5.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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Maruf MNI, Hurtado Munoz LA, Nguyen HP, Lopes Ferreira HM, Kling WL. An enhancement of agent-based power supply-demand matching by using ANN-based forecaster. In Proceedings of the Innovative Smart Grid Technologies Europe Conference (ISGT 2013), 6-9 October 2013, Lingby, Denmark. 2013. p. 1-5 https://doi.org/10.1109/ISGTEurope.2013.6695257