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Improving Self-Consumption of Green Energy Using Linear Programming for Reactive Control of Smart Devices
Volume 29, Issue 2 (2018), pp. 187–210
Pub. online: 1 January 2018      Type: Research Article      Open accessOpen Access
Received
1 September 2016
Accepted
1 February 2018
Published
1 January 2018

Abstract

A relevant challenge introduced by decentralized installations of photo-voltaic systems is the mismatch between green energy production and the load curve for domestic use. We advanced an ICT solution that maximizes the self-consumption by an intelligent scheduling of appliances. The predictive approach is complemented with a reactive one to minimize the short term effects due to prediction errors and to unforeseen loads. Using real measures, we demonstrated that such errors can be compensated modulating the usage of continuously running devices such as fridges and heat-pumps. Linear programming is used to dynamically compute in real-time the optimal control of these devices.

References

 
Amato, A., Di Martino, B., Scialdone, M., Venticinque, Hallsteinsen S, S., Horn, G. (2014a). Software agents for collaborating smart solar-powered micro-grids. In: Caporarello, L., Di Martino, B., Martinez, M. (Eds.), Smart Organizations and Smart Artifacts, Lecture Notes in Information Systems and Organisation, Vol. 7. Springer International Publishing, pp. 125–133.
 
Amato, A., Di Martino, B., Scialdone, M., Venticinque, S. (2014b). An agent-based approach for Smart energy grids. In: 6th Int. Conf. on Agents & Artificial Intelligence, Agents (ICAART-2014), Vol. 2. SciTePress, Angers, France, pp. 164–171.
 
Amato, A., Di Martino, B., Scialdone, M., Venticinque, S., Hallsteinsen, S.O., Jiang, S. (2014c). A distributed system for smart energy negotiation. Proceedings. In: Internet and Distributed Computing Systems – 7th International Conference, IDCS 2014, Calabria, Italy, September 22–24, 2014, pp. 422–434.
 
Amato, A., Di Martino, B., Scialdone, M., Venticinque, S. (2015). Multi-agent negotiation of decentralized energy production in smart micro-grid. In: Camacho, D., Braubach, L., Venticinque, S., Badica, C. (Eds.), Intelligent Distributed Computing VIII, Studies in Computational Intelligence, Vol. 570. Springer International Publishing, pp. 155–160.
 
Amato, A., Aversa, R., Di Martino, B., Scialdone, M., Venticinque, S. (2018). A simulation approach for the optimization of solar powered smart migro-grids. In: Proceedings of the 11th International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS-2017). Springer International Publishing, Cham, pp. 844–853.
 
Brown, P. (2013). European Union Wind and Solar Electricity Policies: Overview and Considerations. Technical report, Congressional Research Service.
 
Castillo-Cagigal, M., Caamano-Martín, E., Matallanas, E., Masa-Bote, D., Gutiérrez, A., Monasterio-Huelin, F., Jiménez-Leube, J. (2011). {PV} self-consumption optimization with storage and Active {DSM} for the residential sector. Solar Energy, 85(9), 2338–2348.
 
Chabaud, A., Eynard, J., Grieu, S. (2013). Optimal design of energy production and storage systems in buildings. In: Proceedings of the 4th Inverse Problems, Design and Optimization Symposium, IPDO-2013, Albi, France.
 
EuroObserver (2016). Photovoltaic Barometer 2016. Technical report, EuroObserver.
 
Matallanas, E., Castillo-Cagigal, M., Caamaño-Martín, E., Masa-Bote, D., Gutiérrez, A., Monasterio, F. (2011). Analysis of the self-consumption possibilities in small grid-connected photovoltaic systems in Spain. In: Proceedings of the 26th European Photovoltaic Solar Energy Conference. WIP-Renewable Energies, Munich, Germany, pp. 4619–4624.
 
Mohamed, A., Mohammed, O. (2013). Real-time energy management scheme for hybrid renewable energy systems in smart grid applications. Electric Power Systems Research, 96, 133–143.
 
Mohsenian-Rad, A.-H., Wong, V.W.S., Jatskevich, J., Schober, R., Leon-Garcia, A. (2010). Autonomous demand-side management based on game-theoretic energy consumption scheduling for the future smart grid. IEEE Transactions on Smart Grid, 1(3), 320–331.
 
Moret, S., Bierlaire, M., MarechalL, F. (2016). Robust optimization for strategic energy planning. Informatica, 27(3), 625–648.
 
Mulder, G., Ridder, F.D., Six, D. (2010). Electricity storage for grid-connected household dwellings with PV panels. Solar Energy, 84(7), 1284–1293.
 
Pelland, S., Remund, J., Kleissl, J., Oozeki, T., De Brabandere, K. (2013). Photovoltaic and solar forecasting: state of the art. IEA PVPS, Task, 14, 1–36.
 
Pournaras, E., Warnier, M., Brazier, F.M.T. (2008). Using intelligent agents for self-adaptation and self-optimization of energy consumption in power networks. In: The First International Workshop on Agents for Autonomic Computing (AAC 2008).
 
Silva, M., Morais, H., Vale, Z. (2012). An integrated approach for distributed energy resource short-term scheduling in smart grids considering realistic power system simulation. Energy Conversion and Management, 64, 273–288.

Biographies

Amato Alba
alba.amato@unicampania.it

A. Amato is a postdoctoral research fellow in computer and electronic engineering at Department of Industrial and Information Engineering of the Second University of Naples. She graduated with a MSc degree in computer science from the University of Naples Federico II and received her PhD in electronic engineering in 2013. Her research interests focus on intelligent systems, agent architectures, multi-agent systems and their applications in cloud computing.

Scialdone Marco
marco.scialdone@unicampania.it

M. Scialdone is a PhD student in electronic and computer engineering at Industrial and Information Engineering Department of Second University of Naples. He received the MSc degree in computer science engineering from the Second University of Naples in 2011. His research interests include multi-agent systems, intelligent systems and distributed systems.

Venticinque Salvatore
salvatore.venticinque@unicampania.it

S. Venticinque is an associate professor at University of Campania Luigi Vanvitelli. His research interests deal with grid and cloud computing, multi-agent systems, decision support system and IoT with applications to smart energy and smart micro-grids. He is the author of more than 100 publications in international journals, books, and conferences in collaboration with national research organizations and foreign academic institutions. He participated in research projects supported by international and national organizations.


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Keywords
smart energy linear programming performance evaluation

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